Statistics Training Courses

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Statistics Training Courses

Local, instructor-led live Statistics training courses demonstrate through interactive discussion and hands-on practice how to apply Statistic principles to the solving of real-world problems.

Statistics training is available as "onsite live training" or "remote live training". Onsite live Statistics training can be carried out locally on customer premises in Canada or in NobleProg corporate training centers in Canada. Remote live training is carried out by way of an interactive, remote desktop.

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Statistics Subcategories

Forecasting Training CoursesForecasting
R Language Training CoursesR Language
Quantitative Analytics Training CoursesQuantitative Analytics

Statistics Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview

Advanced R

7 hours
Overview
This course covers advanced topics in R programming.

Shiny, R and HTML: Merging Data Science and Web Development

7 hours
Overview
Shiny is an open source R package that provides a web framework for building interactive web applications using R.

In this instructor-led, live training, participants will learn how to combine data science and web development using Shiny, R, and HTML.

By the end of this training, participants will be able to:

- Build interactive web applications with R using Shiny

Audience

- Data scientists
- Web developers
- Statisticians

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Financial Trading with R

21 hours
Overview
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn the basics of financial trading as they step through building and implementing basic trading strategies and actions in R using quantstrat.

By the end of this training, participants will be able to:

- Understand the fundamental concepts in trading
- Create and implement their first trading strategy using R
- Analyze the performance of their strategy using R

Audience

- Programmers
- Finance professionals
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

R Programming for Finance

28 hours
Overview
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems.

By the end of this training, participants will be able to:

- Understand the fundamentals of the R programming language
- Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate deploy and optimize an R application

Audience

- Developers
- Analysts
- Quants

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.

Introductory R for Biologists

28 hours
Overview
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.

Introduction to R for Finance

21 hours
Overview
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn the fundamentals of R programming as they walk through coding in R using financial examples.

By the end of this training, participants will be able to:

- Understand the basics of R programming
- Use R to manipulate their data to perform basic financial operations

Audience

- Programmers
- Finance professionals
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

R

21 hours
Overview
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.

Neural Network in R

14 hours
Overview
This course is an introduction to applying neural networks in real world problems using R-project software.

Advanced R Programming

7 hours
Overview
This course is for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills.

The purpose is to give a practical advanced R programming course to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience

R Programming for Data Analysis

14 hours
Overview
This course is part of the Data Scientist skill set (Domain: Data and Technology)

R for Statistical Analysis

14 hours
Overview
Organization – Lab work and practical examples on real data

Scilab

14 hours
Overview
Scilab is a well-developed, free, and open-source high-level language for scientific data manipulation. Used for statistics, graphics and animation, simulation, signal processing, physics, optimization, and more, its central data structure is the matrix, simplifying many types of problems compared to alternatives such as FORTRAN and C derivatives. It is compatible with languages such as C, Java, and Python, making it suitable as for use as a supplement to existing systems.

In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing.

By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge.

Audience

- Data scientists and engineers, especially with interest in image processing and facial recognition

Format of the course

- Part lecture, part discussion, exercises and intensive hands-on practice, with a final project

Statistical Analysis using SPSS

21 hours
Overview
SPSS is software for editing and analyzing data.

Advanced Statistics using SPSS Predictive Analytics Software

28 hours
Overview
Goal:

Mastering the skill work independently with the program SPSS for advanced use, dialog boxes, and command language syntax for the selected analytical techniques.

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and advanced level and learn the selected statistical models. Training takes universal analysis problems and it is dedicated to a specific industry

Statistics with SPSS Predictive Analytics Software

14 hours
Overview
Goal:

Learning to work with SPSS at the level of independence

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and learn popular data mining techniques.

Statistical and Econometric Modelling

21 hours
Overview
The objective of the course is to enable participants to gain a mastery of the fundamentals of statistical and econometric modelling.

Statistical Thinking for Decision Makers

7 hours
Overview
This course has been created for decision makers whose primary goal is not to do the calculation and the analysis, but to understand them and be able to choose what kind of statistical methods are relevant in strategic planning of the organization.

For example, a prospect participant needs to make decision how many samples needs to be collected before they can make the decision whether the product is going to be launched or not.

If you need longer course which covers the very basics of statistical thinking have a look at 5 day "Statistics for Managers" training.

Statistics Level 1

14 hours
Overview
This course has been created for people who require general statistics skills. This course can be tailored to a specific area of expertise like market research, biology, manufacturing, public sector research, etc...

Statistics Level 2

28 hours
Overview
This training course covers advanced statistics. It explains most of the tools commonly used in research, analysis and forecasting. It provides short explanations of the theory behind the formulas.

This course does not relate to any specific field of knowledge, but can be tailored if all the delegates have the same background and goals.

Some basic computer tools are used during this course (notably Excel and OpenOffice)

Statistics for Researchers

35 hours
Overview
This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.

It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.

In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)

In the case of public courses, mixed examples are used.

Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.

This course can be delivered as a blended course i.e. with homework and assignments.

Talent Acquisition Analytics

14 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.

Tableau Advanced

14 hours
Overview
Tableau helps people see and understand data.

Tableau Intermediate Training Course

14 hours
Overview
Tableau helps people see and understand data.

Introduction to Data Visualization with Tidyverse and R

7 hours
Overview
The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

- Perform data analysis and create appealing visualizations
- Draw useful conclusions from various datasets of sample data
- Filter, sort and summarize data to answer exploratory questions
- Turn processed data into informative line plots, bar plots, histograms
- Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

Audience

- Beginners to the R language
- Beginners to data analysis and data visualization

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Advanced Machine Learning with R

21 hours
Overview
In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

By the end of this training, participants will be able to:

- Understand and implement unsupervised learning techniques
- Apply clustering and classification to make predictions based on real world data.
- Visualize data to quicly gain insights, make decisions and further refine analysis.
- Improve the performance of a machine learning model using hyper-parameter tuning.
- Put a model into production for use in a larger application.
- Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.

Predictive Modelling with R

14 hours
Overview
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

NLP: Natural Language Processing with R

21 hours
Overview
It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

Excel For Statistical Data Analysis

14 hours
Overview
Audience

Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.

Course Objectives

This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.

This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.

Administrator Training for Apache Hadoop

35 hours
Overview
Audience:

The course is intended for IT specialists looking for a solution to store and process large data sets in a distributed system environment

Goal:

Deep knowledge on Hadoop cluster administration.

Applied Machine Learning

14 hours
Overview
This training course is for people that would like to apply Machine Learning in practical applications.

Audience

This course is for data scientists and statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization.

The purpose is to give practical applications to Machine Learning to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience.

Upcoming Statistics Courses

Foundation R

2019-10-31 09:30:00
Mississauga - Airways
Remote
CA$3,025
 Classroom
CA$4,655
Read more

Foundation R

2019-10-31 09:30:00
Calgary - Sun Life
Remote
CA$3,025
 Classroom
CA$4,705
Read more

Foundation R

2019-10-31 09:30:00
Edmonton - First Edmonton Place
Remote
CA$3,025
 Classroom
CA$4,700
Read more

Foundation R

2019-10-31 09:30:00
Montreal - University Street
Remote
CA$3,025
 Classroom
CA$4,740
Read more

Foundation R

2019-10-31 09:30:00
Victoria - The Atrium
Remote
CA$3,025
 Classroom
CA$4,595
Read more

Other regions

;CalgaryAlbertaEdmontonOttawaPrince Edward IslandCharlottetownManitobaOntarioQuebecBritish ColumbiaSaskatchewanNova ScotiaVictoriaNew BrunswickMississaugaMontrealSaint JohnHalifaxSaskatoonVancouverQuebec CityTorontoWinnipegLondonBurnabyBramptonSurrey

Other countries

These courses are also available in other countries ››

Consulting

Statistics Consulting
Weekend Statistics courses, Evening Statistics training, Statistics boot camp, Statistics instructor-led, Weekend Statistics training, Evening Statistics courses, Statistics coaching, Statistics instructor, Statistics trainer, Statistics training courses, Statistics classes, Statistics on-site, Statistics private courses, Statistics one on one training

Course Discounts

The Compliance and MLRO Refresher Programme

11/01/2019 - 09:30
Toronto - Toronto Street
Remote
CA$3025
CA$2,228
 Classroom
CA$4720
CA$3,923
Read more

Introduction to OMRON PLC programming

11/13/2019 - 09:30
Oakville - Winston Park
Remote
CA$8085
N/A
 Classroom
CA$9885
CA$9,804
Read more

SQL For Data Science and Data Analysis

11/23/2019 - 09:30
Montreal - Rue Ste-Catherine Ouest
Remote
CA$4730
N/A
 Classroom
CA$6232
CA$647
Read more

Advanced Java, JEE and Web Application Security

12/03/2019 - 09:30
Vancouver - Pacific Centre
Remote
CA$10615
CA$9,554
 Classroom
CA$12775
CA$11,714
Read more

Introduction to R for Finance

01/21/2020 - 09:30
Brampton - Brampton County Court
Remote
CA$8085
CA$7,277
 Classroom
CA$9975
CA$9,167
Read more

WorkFusion RPA Express for Intelligent Automation

03/04/2020 - 09:30
Calgary - Macleod Place II
Remote
CA$8085
CA$7,277
 Classroom
CA$10125
CA$9,317
Read more

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